R: Find sample size given a power in nested model comparison

findRMSEAsamplesizenested {semTools} | R Documentation

## Find sample size given a power in nested model comparison

### Description

Find the sample size that the power in rejection the samples from the alternative pair of RMSEA is just over the specified power.

### Usage

    findRMSEAsamplesizenested(rmsea0A = NULL, rmsea0B = NULL, rmsea1A,
      rmsea1B = NULL, dfA, dfB, power = 0.8, alpha = 0.05, group = 1)

### Arguments

`rmsea0A` | The H_0 baseline RMSEA
`rmsea0B` | The H_0 alternative RMSEA (trivial misfit)
`rmsea1A` | The H_1 baseline RMSEA
`rmsea1B` | The H_1 alternative RMSEA (target misfit to be rejected)
`dfA` | degree of freedom of the more-restricted model.
`dfB` | degree of freedom of the less-restricted model.
`power` | The desired statistical power.
`alpha` | The alpha level.
`group` | The number of group in calculating RMSEA.

### Author(s)

Bell Clinton

Pavel Panko (Texas Tech University; pavel.panko@ttu.edu)

Sunthud Pornprasertmanit (psunthud@gmail.com)

### References

MacCallum, R. C., Browne, M. W., & Cai, L. (2006). Testing differences between nested covariance structure models: Power analysis and null hypotheses. Psychological Methods, 11(1), 19-35. doi:10.1037/1082-989X.11.1.19

### See Also

- `plotRMSEApowernested` to plot the statistical power for nested model comparison based on population RMSEA given the sample size

- `findRMSEApowernested` to find the power for a given sample size in nested model comparison based on population RMSEA

### Examples

    findRMSEAsamplesizenested(rmsea0A = 0, rmsea0B = 0, rmsea1A = 0.06,
                              rmsea1B = 0.05, dfA = 22, dfB = 20, power = 0.80,
                              alpha = .05, group = 1)

[Package semTools version 0.5-0 Index]